Published Work
Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study
Published in JMIR, 2023
In South Asia, suicide rates range from 9.8 to 13.0 per 100,000, with over 260 million individuals affected by mental health conditions and a severe shortage of mental health professionals. Our published protocol addresses this crisis by leveraging Facebook data to predict transitions from depression to suicidal ideation among Indian-Bangladeshi individuals. I developed NLP pipelines to analyze multilingual text, identifying linguistic markers of distress within cultural contexts. This novel approach offers early risk detection for underserved populations, aiming to empower clinicians with actionable insights. The research lays the groundwork for real-time interventions, addressing a critical public health challenge.
Recommended Citation:
Turjo M, Mundada K, Haque N, Ahmed N Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study JMIR Res Protoc 2024;13:e55511 DOI: 10.2196/55511
Bridging the Accessibility Gap: The Role of AI in Creating an Inclusive Society
Published in 2024
Examining the transformative impact of AI on accessibility, this research highlights how AI-driven solutions, such as Visual Assistant Technologies and Speech Recognition Systems, empower individuals with disabilities, including those with visual, speech, and cognitive impairments. Addressing the needs of over 1 billion people globally, the study explores advancements, challenges, and ethical considerations, offering new perspectives on bridging accessibility gaps. By emphasizing AI’s potential to promote inclusion and independence, this paper contributes to the ongoing dialogue on creating a more equitable society.